Download PTU MBA 2020 March 3rd Sem 77058 Data Sciences Using R Question Paper

Download PTU (I.K. Gujral Punjab Technical University Jalandhar (IKGPTU) ) MBA (Master of Business Administration) 2020 March 3rd Sem 77058 Data Sciences Using R Previous Question Paper

1 | M-77058 (S32)-2309

Roll No. Total No. of Pages : 02
Total No. of Questions : 17
MBA (2018 Batch) (Sem.?3)
DATA SCIENCES USING R
Subject Code : MBA-962-18
M.Code : 77058
Time : 3 Hrs. Max. Marks : 60

INSTRUCTIONS TO CANDIDATES :
1. SECTION-A contains EIGHT questions carrying TWO marks each and students
has to attempt ALL questions.
2. SECTION-B consists of FOUR Subsections : Units-I, II, III & IV. Each Subsection
contains TWO questions each carrying EIGHT marks each and student has to
attempt any ONE question from each Subsection.
3. SECTION-C is COMPULSORY and consist of ONE question carrying TWELVE
marks.

SECTION-A
Explain briefly :
Q1. Big Data
Q2. Mean, Median, Mode
Q3. Regression
Q4. SVM
Q5. Deep Learning
Q6. Decision Tree
Q7. Validation
Q8. Data Mining

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1 | M-77058 (S32)-2309

Roll No. Total No. of Pages : 02
Total No. of Questions : 17
MBA (2018 Batch) (Sem.?3)
DATA SCIENCES USING R
Subject Code : MBA-962-18
M.Code : 77058
Time : 3 Hrs. Max. Marks : 60

INSTRUCTIONS TO CANDIDATES :
1. SECTION-A contains EIGHT questions carrying TWO marks each and students
has to attempt ALL questions.
2. SECTION-B consists of FOUR Subsections : Units-I, II, III & IV. Each Subsection
contains TWO questions each carrying EIGHT marks each and student has to
attempt any ONE question from each Subsection.
3. SECTION-C is COMPULSORY and consist of ONE question carrying TWELVE
marks.

SECTION-A
Explain briefly :
Q1. Big Data
Q2. Mean, Median, Mode
Q3. Regression
Q4. SVM
Q5. Deep Learning
Q6. Decision Tree
Q7. Validation
Q8. Data Mining


2 | M-77058 (S32)-2309

SECTION-B
UNIT-I
Q9. Differentiate between supervised and unsupervised learning.
Q10. Explain standard deviation and variance using R software.
UNIT-II
Q11. What is decision tree? Where they are used? Explain with example.
Q12. Explain the concept of linear, multiple and logistic regression.
UNIT-III
Q13. Explain the process of clustering with k-medoids algorithm.
Q14. Write a note on hierarchical and density-based spatial clustering.
UNIT-IV
Q15. How evaluation and validation is achieved using cross-validation?
Q16. Write a note on big data related techniques.

SECTION-C
Q17. A librarian purchases 500 books for the library. How data mining techniques (clustering
and classification) will be used to arrange the books into racks?



NOTE : Disclosure of Identity by writing Mobile No. or Making of passing request on any
page of Answer Sheet will lead to UMC against the Student.
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